title: Simpler, faster, more accurate melanocytic lesion segmentation through MEDS.
abstract: We present a new technique for melanocytic lesion segmentation, Mimicking Expert Dermatologists' Segmentations (MEDS), and extensive tests of its accuracy, speed, and robustness. MEDS combines a thresholding scheme reproducing the cognitive process of dermatologists with a number of optimizations that may be of independent interest. MEDS is simple, with a single parameter tuning its “tightness”. It is extremely fast, segmenting medium-resolution images in a fraction of a second even with the modest computational resources of a cell phone-an improvement of an order of magnitude or more over state-of-the-art techniques. And it is extremely accurate: very experienced dermatologists disagree with its segmentations less than they disagree with the segmentations of state-of-the-art techniques, and in fact less than they disagree with the segmentations of dermatologists of moderate experience.
authors.forename: Francesco
authors.initials: F
authors.lastname: Peruch
authors.forename: Federica
authors.initials: F
authors.lastname: Bogo
authors.forename: Michele
authors.initials: M
authors.lastname: Bonazza
authors.forename: Vincenzo-Maria
authors.initials: VM
authors.lastname: Cappelleri
authors.forename: Enoch
authors.initials: E
authors.lastname: Peserico
mesh_terms: D046169:Dermoscopy / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008545:Melanoma / Q000473:pathology*; D025341:Principal Component Analysis; D012878:Skin Neoplasms / Q000473:pathology*